Fuzzy logic approach for knowledge modeling in an Ontology: A review

Abdoul Azize Kindo, Guidedi Kaladzavi, Sadouanouan Malo, G. Camara, T. Tapsoba, Kolyang
{"title":"Fuzzy logic approach for knowledge modeling in an Ontology: A review","authors":"Abdoul Azize Kindo, Guidedi Kaladzavi, Sadouanouan Malo, G. Camara, T. Tapsoba, Kolyang","doi":"10.1109/SCCIC51516.2020.9377335","DOIUrl":null,"url":null,"abstract":"Fuzzy logic is an extension of Boolean logic created by Lotfi Zadeh in 1965 based on his mathematical theory of fuzzy sets, which is a generalization of classical set theory. By introducing the notion of degree or possibility, fuzzy logic confers very appreciable flexibility to the reasoning, which uses it, which makes it possible to take into account imprecision and uncertainties. Despite a beginning of reluctance and even rejection of the theory of fuzzy logic, it has been used in many fields. Today, its usefulness and its reputation are no longer to be demonstrated because more than 50 years after its appearance, it has been well adopted by engineers and part of the scientific world. In this paper, we present a state of the art on fuzzy logic and its use in the field of knowledge representation and more specifically in ontology modeling using OWL and SWRL.","PeriodicalId":120154,"journal":{"name":"2020 IEEE 2nd International Conference on Smart Cities and Communities (SCCIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 2nd International Conference on Smart Cities and Communities (SCCIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCCIC51516.2020.9377335","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Fuzzy logic is an extension of Boolean logic created by Lotfi Zadeh in 1965 based on his mathematical theory of fuzzy sets, which is a generalization of classical set theory. By introducing the notion of degree or possibility, fuzzy logic confers very appreciable flexibility to the reasoning, which uses it, which makes it possible to take into account imprecision and uncertainties. Despite a beginning of reluctance and even rejection of the theory of fuzzy logic, it has been used in many fields. Today, its usefulness and its reputation are no longer to be demonstrated because more than 50 years after its appearance, it has been well adopted by engineers and part of the scientific world. In this paper, we present a state of the art on fuzzy logic and its use in the field of knowledge representation and more specifically in ontology modeling using OWL and SWRL.
本体知识建模的模糊逻辑方法综述
模糊逻辑是1965年Lotfi Zadeh在模糊集数学理论的基础上对布尔逻辑的扩展,是对经典集合论的推广。通过引入程度或可能性的概念,模糊逻辑赋予使用它的推理非常可观的灵活性,这使得考虑不精确和不确定性成为可能。尽管一开始人们不愿意甚至拒绝模糊逻辑理论,但它已经在许多领域得到了应用。今天,它的有用性和声誉已不再被证明,因为在它出现50多年后,它已被工程师和科学界的一部分人很好地采用。在本文中,我们介绍了模糊逻辑及其在知识表示领域的应用,特别是在使用OWL和SWRL进行本体建模方面的最新进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信